Carlos Colmenarez

Carlos ColmenarezSS Bowling Green Hot Rods

Age 22 L/R 5'9" / 172 lbs A+ HR +6%H +4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION227 act + 29 ros · stats below = ROS only

showingROS

wRC+†47

AVG/OBP/SLG.192 / .276 / .346

PA29

HR0

K%45

BB%7

BABIP301

ISO154

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 25 / POW 35

Toolsscout grade

CONTACT25

scouting grade only

POWER35

scouting grade only

EYE55

scouting grade only

SPEED45

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Arb-1	$0.2M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-2M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2021	17	ROK	DSL Rays 1	—	114	97	24	2	1	0	8	30	4	7	6	247	327	289	616	41	338	26	7	278	74	-3	-1	—	—	+2	-0.2
2022	18	ROK	FCL Rays	—	153	126	32	7	3	1	17	41	9	13	2	254	382	381	763	127	365	27	11	349	122	+4	+2	—	—	+3	0.9
2023	19	A	Charleston RiverDogs	—	346	283	57	9	1	6	52	132	10	10	11	201	345	304	649	102	349	38	15	307	94	-2	-2	—	—	+7	0.3
2023	19	ROK	FCL Rays	—	24	21	7	2	0	0	3	6	0	0	0	333	417	429	845	95	467	25	12	383	145	+1	+0	—	—	+1	0.2
2024	20	A	Charleston RiverDogs	—	368	297	60	7	3	1	54	108	9	15	8	202	340	256	596	54	306	29	15	284	78	-9	-0	—	—	+8	-0.2
2024	20	INTL	Perth Heat	—	138	117	31	2	1	6	17	48	2	1	1	265	365	453	818	188	391	35	12	362	131	+5	-0	—	—	+3	0.8
2025	21	A+	Bowling Green Hot Rods	—	280	231	48	6	1	6	38	94	8	3	3	208	338	320	658	113	321	34	14	307	94	-2	-1	—	—	+6	0.3
2025	21	ROK	FCL Rays	—	27	25	8	1	0	1	1	8	1	0	0	320	370	480	850	160	438	30	4	379	142	+1	+0	—	—	+1	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Rays 1	—	114	101	17	1	1	0	5	44	4	7	6	168	236	198	434	30	256	39	4	192	16	-11	-1	—	—	+2	-1.0
2022	18	ROK MLE	FCL Rays	—	153	132	24	5	2	1	11	59	9	13	2	182	289	273	562	91	300	39	7	246	53	-9	+2	—	—	+3	-0.4
2023	19	A MLE	Charleston RiverDogs	—	346	304	38	6	1	4	31	190	10	10	11	125	229	191	420	66	296	55	9	196	19	-33	-2	—	—	+7	-2.9
2023	19	ROK MLE	FCL Rays	—	24	22	5	1	0	0	2	9	0	0	0	227	292	273	564	45	369	38	8	257	60	-1	+0	—	—	+1	-0.1
2024	20	A MLE	Charleston RiverDogs	—	368	321	48	5	2	1	32	156	9	15	8	150	246	187	433	37	267	42	9	206	26	-33	-0	—	—	+8	-2.5
2025	21	A+ MLE	Bowling Green Hot Rods	—	280	244	40	4	1	5	26	123	8	3	3	164	266	250	516	86	293	44	9	232	43	-19	-1	—	—	+6	-1.4
2025	21	ROK MLE	FCL Rays	—	27	25	6	1	0	1	1	12	1	0	0	240	296	400	696	160	345	44	4	250	55	-1	+0	—	—	+1	-0.1
2021	17	ROK MLE	DSL Rays 1	—	114	101	17	1	1	0	5	44	4	7	6	168	236	198	434	30	279	39	4	192	16	—	—	—	—	—	—
2021	17	ROK RAW	DSL Rays 1	—	114	97	24	2	1	0	8	30	4	7	6	247	327	289	616	41	338	26	7	278	16	—	—	—	—	—	—
2022	18	ROK MLE	FCL Rays	—	153	132	24	5	2	1	11	59	9	13	2	182	289	273	562	91	315	39	7	246	53	—	—	—	—	—	—
2022	18	ROK RAW	FCL Rays	—	153	126	32	7	3	1	17	41	9	13	2	254	382	381	763	127	365	27	11	349	53	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	370	326	43	7	1	4	33	199	10	10	11	132	233	196	429	64	315	54	9	200	21	—	—	—	—	—	—
2023	19	A RAW	2 teams	—	370	304	64	11	1	6	55	138	10	10	11	211	350	312	662	102	360	37	15	312	21	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	506	443	66	7	3	1	45	214	11	16	9	149	244	185	430	36	278	42	9	206	26	—	—	—	—	—	—
2024	20	A RAW	2 teams	—	506	414	91	9	4	7	71	156	11	16	9	220	347	312	658	92	327	31	14	305	26	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	307	269	46	5	1	6	27	135	9	3	3	171	269	264	533	93	312	44	9	234	44	—	—	—	—	—	—
2025	21	A+ RAW	2 teams	—	307	256	56	7	1	7	39	102	9	3	3	219	341	336	677	117	333	33	13	313	44	—	—	—	—	—	—
2021	17	ROK MLE	DSL Rays 1	—	114	104	17	1	1	0	5	44	4	7	6	163	236	192	429	29	256	39	4	192	16	—	—	—	—	—	—
2022	18	ROK MLE	FCL Rays	—	153	132	24	5	2	1	11	59	9	13	2	182	289	273	562	91	300	39	7	246	53	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	370	324	43	7	1	4	33	199	10	10	11	133	233	198	431	65	301	54	9	200	21	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	506	445	66	7	3	1	45	214	11	16	9	148	244	184	429	36	267	42	9	206	26	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	307	268	46	5	1	6	27	135	9	3	3	172	269	265	534	93	298	44	9	234	44	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	2 teams	—	370	324	43	7	1	4	33	199	10	10	11	133	233	198	431	65	301	54	9	200	21	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	506	445	66	7	3	1	45	214	11	16	9	148	244	184	429	36	267	42	9	206	26	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	307	268	46	5	1	6	27	135	9	3	3	172	269	265	534	93	298	44	9	234	44	—	—	—	—	—	—
YTD	22	A+ MLE	TB	—	227	200	38	6	0	7	15	103	8	9	1	190	274	325	599	135	344	45	7	264	65	-10	+1	+0	+2	+5	-0.1
▸ 2026 season
YTD	22	A+ RAW	TB	—	141	117	30	5	0	8	15	42	7	5	1	256	374	504	878	248	328	30	11	383	65	—	—	—	—	—	—
YTD	22	AAA RAW	TB	—	86	75	17	3	0	2	8	39	1	4	0	227	310	347	656	120	441	45	9	293	65	—	—	—	—	—	—
ROS	22	A+ MLE	TB	0%	29	26	5	1	0	1	2	13	1	1	0	192	276	346	622	154	293	45	7	237	47	-2	+0	+0	+0	+1	-0.1
TOT	22	A+ MLE	TB	—	256	226	43	7	0	8	17	116	9	10	1	190	274	327	601	137	343	45	7	261	63	-11	+2	+0	+3	+6	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	TB	35%	413	367	64	10	1	9	34	175	9	8	3	174	261	281	542	106	295	42	8	250	55	-22	+0	+0	+4	+9	-0.8
2028	24	MLB MLE	TB	46%	462	411	75	12	1	11	38	187	10	9	3	182	268	297	565	114	296	40	8	259	62	-21	+1	+0	+5	+10	-0.6
2029	25	MLB MLE	TB	52%	484	430	80	13	1	12	41	191	10	10	3	186	272	305	577	119	296	39	8	265	65	-20	+1	+0	+5	+10	-0.4
2030	26	MLB MLE	TB	54%	496	440	82	13	1	12	42	193	11	10	3	186	274	302	576	116	295	39	8	267	67	-19	+1	+0	+5	+11	-0.3
2031	27	MLB MLE	TB	54%	497	440	82	13	1	12	43	194	11	10	3	186	275	302	578	116	295	39	9	268	67	-19	+1	+0	+5	+11	-0.3
2032	28	MLB MLE	TB	54%	493	437	81	13	1	12	43	193	10	10	3	185	273	302	576	117	295	39	9	267	67	-20	+1	-1	+5	+11	-0.4
2033	29	MLB MLE	TB	53%	484	429	80	13	1	12	42	190	10	9	3	186	274	305	580	119	294	39	9	265	65	-20	+1	-1	+5	+10	-0.5
2027	23	MLB CTX	TB	35%	143	127	23	4	0	3	12	60	3	3	1	181	268	283	551	102	304	42	8	238	55	-8	+0	+0	+2	+3	-0.3
2028	24	MLB CTX	TB	46%	214	189	36	6	1	5	18	87	5	4	1	190	278	312	590	122	304	41	8	249	62	-10	+0	+0	+2	+5	-0.3
2029	25	MLB CTX	TB	52%	250	222	42	7	1	6	21	98	5	5	2	189	274	311	585	122	304	39	8	255	65	-10	+0	+0	+3	+5	-0.2
2030	26	MLB CTX	TB	54%	269	238	47	8	1	7	23	105	6	6	2	197	285	328	612	130	304	39	9	258	67	-11	+0	+0	+3	+6	-0.1
2031	27	MLB CTX	TB	54%	270	239	47	8	1	7	23	105	6	6	2	197	284	326	610	130	304	39	9	258	67	-11	+0	+0	+3	+6	-0.1
2032	28	MLB CTX	TB	54%	268	237	45	7	1	7	23	105	6	5	2	190	278	316	595	127	304	39	9	257	67	-11	+0	-0	+3	+6	-0.2
2033	29	MLB CTX	TB	53%	257	228	43	7	1	6	22	101	5	5	2	189	275	307	582	118	303	39	9	255	65	-11	+0	-1	+3	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1671	1480	283	47	6	41	142	661	36	34	12	191	278	314	592	123	308	40	8	254	54	-70	+2	-1	+18	+36	-1.5
/ 162G	—	A+C		—	650	576	110	18	2	16	55	257	14	13	5	191	278	312	590	122	307	40	8	254	54	-27	+1	-0	+7	+14	-0.6
Career	—	MLE		—	4808	4251	745	113	15	93	406	1987	115	116	52	175	265	275	540	99	297	41	8	248	54	-143	+5	-2	+36	+73	-3.2
/ 162G	—	MLE		—	650	575	101	15	2	13	55	269	16	16	7	176	267	277	543	101	296	41	8	248	54	-28	+1	-0	+7	+14	-0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.5	1,671	41	33	186	271	304	+18	+9	-0.3	-0.1
/162	664	16	13	+7.1	+3.6	-0.1	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Carlos Colmenarez (OGILVIE)	22	25	35	45	55	162/250/253	91	293	6	8	45%	8%	47	-1.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron Bracho 2023 · A	22	29→37	42→45	44→40	37	157/224/253	96	253	10	4	40%	7%	35	-3.4	193/255/314	121	256	14	5	30%	7%	61	-1.5	189/251/313	124	237	16	4	27%	7%	57	-1.0
✕Andry Arias 2022 · A	22	38	42→40	44→40	39	190/256/295	105	287	10	7	36%	7%	57	-1.8	195/259/290	95	306	7	6	36%	7%	56	-1.9	160/231/251	91	256	7	3	38%	8%	34	-1.2
✕Stephen Paolini 2023 · A	22	36→37	38→40	48→50	37	167/238/244	77	308	6	12	44%	8%	38	-3.2	177/247/261	84	328	7	17	44%	8%	45	-2.7	160/232/238	78	299	8	23	46%	8%	33	-1.6
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	174/222/255	81	277	7	4	39%	5%	34	-3.5	184/241/265	81	306	8	5	40%	6%	44	-2.8	141/191/216	75	260	9	0	47%	5%	11	-1.0
✕Andy Yerzy 2021 · A	23	35	38→50	49→40	35	174/226/251	77	275	5	7	37%	5%	34	-3.5	188/272/333	145	263	18	6	34%	9%	72	-0.7	166/252/300	134	233	18	4	36%	9%	55	-1.0
✕Jose Dilone 2023 · A	22	37	37→30	51→55	41	173/253/240	67	291	5	13	39%	8%	43	-2.8	207/284/292	85	367	6	11	41%	9%	66	-1.1	210/300/295	85	416	8	12	46%	10%	69	-0.2
✕Brenden Webb 2012 · A	22	40→39	38→45	47→50	42	183/262/258	75	309	5	9	39%	9%	50	-2.3	183/265/296	113	308	11	10	40%	9%	60	-1.6	169/250/290	121	279	12	10	41%	9%	52	-1.5
✕Randy Florentino 2022 · A	22	34	40→50	43→45	40	169/236/252	83	270	8	6	38%	8%	38	-3.2	193/247/280	87	268	9	6	30%	6%	49	-2.4	188/237/266	78	247	8	4	27%	6%	40	-0.9
✕Nick Plummer 2019 · A	23	36→46	40→45	43→50	45	168/271/258	91	294	8	8	41%	11%	55	-1.9	180/280/287	107	313	9	8	41%	10%	65	-1.2	185/283/303	118	301	12	10	38%	9%	67	-0.7
✕Raynel Delgado 2022 · A	22	37→47	40	47→60	36	184/239/270	86	284	8	13	36%	6%	44	-2.8	212/279/303	91	297	8	18	29%	7%	66	-1.1	236/299/323	88	323	7	32	27%	7%	75	-0.4
✕Cody Morissette 2022 · A	22	41→30	39→45	43→55	44	195/263/281	86	285	6	5	32%	8%	55	-1.9	186/242/306	120	251	14	7	31%	6%	53	-2.1	182/237/299	117	239	14	19	29%	6%	48	-1.4
✕Shane Matheny 2019 · A	23	38→41	39→45	41→50	35	185/241/259	75	303	8	4	40%	6%	42	-2.9	186/247/281	95	297	10	4	38%	7%	49	-2.4	190/280/310	120	295	13	9	37%	10%	67	-0.7
✕Cole Roederer 2022 · A	22	42→32	40→45	50	44	198/272/292	93	297	7	13	34%	8%	61	-1.5	201/266/314	113	295	12	11	34%	7%	64	-1.3	180/254/288	108	265	12	11	34%	8%	53	-1.2
✕Shawn Griffin 2009 · A	22	41	40→45	50	38	191/252/282	90	316	7	11	39%	7%	51	-2.3	215/265/307	92	339	6	7	36%	6%	61	-1.5	233/273/330	96	357	6	2	35%	5%	66	-0.4
✕Michael Pérez 2015 · A	22	36	43→50	41→40	40	180/248/296	116	288	11	3	39%	8%	53	-2.1	194/252/288	94	269	8	4	29%	7%	53	-2.1	222/282/338	116	285	12	0	25%	7%	74	-0.3
✕Rubel Cespedes 2022 · A	21	34→44	39→45	49→40	36	170/224/255	85	264	7	6	37%	6%	34	-3.5	213/264/317	104	303	10	4	31%	6%	64	-1.3	217/269/325	108	297	11	3	29%	6%	64	-0.9
✕Jared Walker 2017 · A	21	37→32	40→55	44→45	37	178/239/268	89	302	8	7	41%	7%	44	-2.8	188/258/344	156	307	19	5	42%	7%	70	-0.9	173/255/337	164	274	21	5	42%	7%	64	-0.8
✕Luis Toribio 2023 · A	22	35→39	45	45→40	37	174/243/293	119	298	14	3	44%	8%	51	-2.2	181/250/310	129	295	15	3	41%	8%	58	-1.7	165/237/294	129	254	16	1	40%	8%	47	-1.4
✕Braulio Vasquez 2021 · A	22	41	39→40	44→65	38	195/256/276	80	309	6	7	37%	6%	51	-2.2	207/280/301	94	303	7	30	31%	7%	67	-1.1	200/278/292	91	290	6	42	30%	7%	62	-0.6
✕Juan Zabala 2021 · A	22	40	39→40	48→50	37	189/252/274	85	300	6	6	37%	6%	50	-2.3	212/274/306	94	301	9	13	30%	7%	65	-1.2	206/268/289	83	286	8	16	29%	7%	56	-0.8

Career Stats + Projections

Career Comps

Career Path Comps